To draw: The graph of the given time series data.

Question

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Answer 1

Question

Chapter 18, Problem 2SR

a.

To determine

To draw: The graph of the given time series data.

b.

To determine

To describe: The given time series data.

c.

To determine

To explain: The reason that forecasting with forecasting with simple exponential smoothing is appropriate for the given time series.

d.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.2 and the forecasting error.

e.

To determine

To calculate: The forecast using simple exponential smoothing forecast model with a smoothing constant of 0.2 .

f.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.3 and the forecasting error.

g.

To determine

To explain: The better of simple exponential smoothing forecast model with a smoothing constant of 0.2 or 0.3 .

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30. An individual who has automobile insurance from a certain company is randomly selected. Let Y be the num- ber of moving violations for which the individual was cited during the last 3 years. The pmf of Y isy | 1 2 4 8 16p(y) | .05 .10 .35 .40 .10 a.Compute E(Y).b. Suppose an individual with Y violations incurs a surcharge of $100Y^2. Calculate the expected amount of the surcharge.

24. An insurance company offers its policyholders a num- ber of different premium payment options. For a ran- domly selected policyholder, let X = the number of months between successive payments. The cdf of X is as follows: F(x)=0.00 : x < 10.30 : 1≤x<30.40 : 3≤ x < 40.45 : 4≤ x <60.60 : 6≤ x < 121.00 : 12≤ x a. What is the pmf of X?b. Using just the cdf, compute P(3≤ X ≤6) and P(4≤ X).

59. At a certain gas station, 40% of the customers use regular gas (A1), 35% use plus gas (A2), and 25% use premium (A3). Of those customers using regular gas, only 30% fill their tanks (event B). Of those customers using plus, 60% fill their tanks, whereas of those using premium, 50% fill their tanks.a. What is the probability that the next customer will request plus gas and fill the tank (A2 B)?b. What is the probability that the next customer fills the tank?c. If the next customer fills the tank, what is the probability that regular gas is requested? Plus? Premium?

Answer 2

Question

Chapter 18, Problem 2SR

a.

To determine

To draw: The graph of the given time series data.

b.

To determine

To describe: The given time series data.

c.

To determine

To explain: The reason that forecasting with forecasting with simple exponential smoothing is appropriate for the given time series.

d.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.2 and the forecasting error.

e.

To determine

To calculate: The forecast using simple exponential smoothing forecast model with a smoothing constant of 0.2 .

f.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.3 and the forecasting error.

g.

To determine

To explain: The better of simple exponential smoothing forecast model with a smoothing constant of 0.2 or 0.3 .

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Answer 3

Question

Chapter 18, Problem 2SR

a.

To determine

To draw: The graph of the given time series data.

b.

To determine

To describe: The given time series data.

c.

To determine

To explain: The reason that forecasting with forecasting with simple exponential smoothing is appropriate for the given time series.

d.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.2 and the forecasting error.

e.

To determine

To calculate: The forecast using simple exponential smoothing forecast model with a smoothing constant of 0.2 .

f.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.3 and the forecasting error.

g.

To determine

To explain: The better of simple exponential smoothing forecast model with a smoothing constant of 0.2 or 0.3 .

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Answer 4

Question

Chapter 18, Problem 2SR

a.

To determine

To draw: The graph of the given time series data.

b.

To determine

To describe: The given time series data.

c.

To determine

To explain: The reason that forecasting with forecasting with simple exponential smoothing is appropriate for the given time series.

d.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.2 and the forecasting error.

e.

To determine

To calculate: The forecast using simple exponential smoothing forecast model with a smoothing constant of 0.2 .

f.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.3 and the forecasting error.

g.

To determine

To explain: The better of simple exponential smoothing forecast model with a smoothing constant of 0.2 or 0.3 .

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Answer 5

Chapter 18, Problem 2SR

a.

To determine

To draw: The graph of the given time series data.

b.

To determine

To describe: The given time series data.

c.

To determine

To explain: The reason that forecasting with forecasting with simple exponential smoothing is appropriate for the given time series.

d.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.2 and the forecasting error.

e.

To determine

To calculate: The forecast using simple exponential smoothing forecast model with a smoothing constant of 0.2 .

f.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.3 and the forecasting error.

g.

To determine

To explain: The better of simple exponential smoothing forecast model with a smoothing constant of 0.2 or 0.3 .

Answer 6

Chapter 18, Problem 2SR

a.

To determine

To draw: The graph of the given time series data.

Answer 7

Chapter 18, Problem 2SR

a.

To determine

To draw: The graph of the given time series data.

Answer 8

b.

To determine

To describe: The given time series data.

Answer 9

b.

To determine

To describe: The given time series data.

Answer 10

c.

To determine

To explain: The reason that forecasting with forecasting with simple exponential smoothing is appropriate for the given time series.

Answer 11

c.

To determine

To explain: The reason that forecasting with forecasting with simple exponential smoothing is appropriate for the given time series.

Answer 12

d.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.2 and the forecasting error.

Answer 13

d.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.2 and the forecasting error.

Answer 14

e.

To determine

To calculate: The forecast using simple exponential smoothing forecast model with a smoothing constant of 0.2 .

Answer 15

e.

To determine

To calculate: The forecast using simple exponential smoothing forecast model with a smoothing constant of 0.2 .

Answer 16

f.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.3 and the forecasting error.

Answer 17

f.

To determine

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.3 and the forecasting error.

Answer 18

g.

To determine

To explain: The better of simple exponential smoothing forecast model with a smoothing constant of 0.2 or 0.3 .

Answer 19

g.

To determine

To explain: The better of simple exponential smoothing forecast model with a smoothing constant of 0.2 or 0.3 .

Answer 20

Expert Solution & Answer

Answer 21

Expert Solution & Answer

Answer 22

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Answer 23

Ch. 18 - Prob. 1E Ch. 18 - Prob. 2E Ch. 18 - Prob. 3E Ch. 18 - Prob. 4E Ch. 18 - Prob. 1SR Ch. 18 - Prob. 5E Ch. 18 - Prob. 6E Ch. 18 - Prob. 7E Ch. 18 - Prob. 8E Ch. 18 - Prob. 2SR

To draw: The graph of the given time series data.

To draw: The graph of the given time series data.

To describe: The given time series data.

To explain: The reason that forecasting with forecasting with simple exponential smoothing is appropriate for the given time series.

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.2 and the forecasting error.

To calculate: The forecast using simple exponential smoothing forecast model with a smoothing constant of 0.2 .

To calculate: The simple exponential smoothing forecast model with a smoothing constant of 0.3 and the forecasting error.

To explain: The better of simple exponential smoothing forecast model with a smoothing constant of 0.2 or 0.3 .

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Chapter 18 Solutions